Estimating the long-term effects of treatments is of interest in many fields. A common challenge to this is that long-term outcomes are typically unobserved in the time frame needed to make policy decisions. Instead, we can analyze effects on an intermediate outcome, termed a “statistical surrogate.” For example, in the case of studies of the effect of cancer therapies on mortality, tumor size serves as a statistical surrogate for mortality rates.
Questions tagged [surrogate]
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What is the relation between a surrogate function and an acquisition function?
A surrogate function is a simpler function than the objective function to evaluate. An acquisition function is used to propose sampling points.
In the context of Bayesian optimisation and Gaussian processes, what's the intuition behind the…
user82135
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Standard Error Calculation for the Statistical Surrogates Index Estimator in Athey, Chetty, Imbens, and Kang (2016)
I am trying to understand the simple surrogate index estimator from Athey, Chetty, Imbens, and Kang (2016) in Section 5.1 of v2 of their paper.
The setup is that you have an experiment that alters tumor size/test scores/browsing behavior and you are…
dimitriy
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Analysis of a model response for peaks and valleys that is generated by meta-modeling
I studied biomechanics and I'm kind of new to the world of machine learning. Nevertheless it would be great to get some feedback from some experts, what is possible and what is not possible with ML.
So: I would like to know if it's somehow possible…
user325769
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Can we use Shap to interpret output changes?
Can we calculate the difference between Shapley values to interpret changes in the output? More precisely, if we get Shapley values for two different inputs, can we compare them to understand how much each feature led to the increase/decrease of the…
giogix
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What's the difference between a "surrogate metric" and a "proxy metric"?
Is there a difference between a "surrogate metric" a "proxy metric" or a "correlated metric"? Is "surrogate" simply unnecessary jargon, or is there a meaning that makes it more specific than when saying "proxy" or "correlated"?
Harry M
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